422 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Oceanic and Atmospheric AdministrationUS28 papers
- University of Colorado BoulderUS17 papers
- Cooperative Institute for Research in Environmental SciencesUS16 papers
- Goddard Space Flight CenterUS10 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Catholic University of AmericaUS6 papers
- Centrum Wiskunde & InformaticaNL5 papers
- George Mason UniversityUS5 papers
- Royal Observatory of BelgiumBE5 papers
- Academy of AthensGR4 papers
- HeliophysicsUS4 papers
- KU LeuvenBE4 papers
12 papers · 1 filter
Advancing Heliophysics and Space Weather Modeling through Open Science
C. Corti, M. M. Kuznetsova, M. A. Reiss +85
We present a community-wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potenti…
Multi-Hour Ahead Dst Index Prediction Using Multi-Fidelity Boosted Neural Networks
A. Hu, E. Camporeale, B. Swiger
The Disturbance storm time (Dst) index has been widely used as a proxy for the ring current intensity, and therefore as a measure of geomagnetic activity. It is derived by measurem…
Probabilistic prediction of Dst storms one-day-ahead using Full-Disk SoHO Images
A. Hu, C. Shneider, A. Tiwari +1
We present a new model for the probability that the Disturbance storm time (Dst) index exceeds -100 nT, with a lead time between 1 and 3 days. provides essential information…
Parameter Distributions for the Drag-Based Modeling of CME Propagation
Gianluca Napoletano, Raffaello Foldes, Enrico Camporeale +7
In recent years, ensemble modeling has been widely employed in space weather to estimate uncertainties in forecasts. We here focus on the ensemble modeling of CME arrival times and…
Radiation Belt Response to Fast Reverse Shock at Geosynchronous Orbit
Ankush Bhaskar, David Sibeck, Shrikanth G. Kanekal +5
Fast reverse shocks (FRSs) cause the magnetosphere to expand, by contrast to the well-known compressions caused by the impact of fast forward shocks (FFS). Usually, FFSs are more g…
Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress)
Ryan M. McGranaghan, Jack Ziegler, Téo Bloch +7
We advance the modeling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of machine learning (ML) tools to gain…
Bayesian inference of quasi-linear radial diffusion parameters using Van Allen Probes
Rakesh Sarma, Mandar Chandorkar, Irina Zhelavskaya +3
The Van Allen radiation belts in the magnetosphere have been extensively studied using models based on radial diffusion theory, which is based on a quasi-linear approach with presc…
A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning
Enrico Camporeale, M. D. Cash, H. J. Singer +3
We present a novel algorithm that predicts the probability that the time derivative of the horizontal component of the ground magnetic field exceeds a specified threshold a…
Forecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard
Pete Riley, Leila Mays, Jesse Andries +15
Accurate forecasting of the properties of coronal mass ejections as they approach Earth is now recognized as an important strategic objective for both NOAA and NASA. The time of ar…
Understanding space weather to shield society: A global road map for 2015-2025 commissioned by COSPAR and ILWS
Carolus J. Schrijver, Kirsti Kauristie, Alan D. Aylward +23
There is a growing appreciation that the environmental conditions that we call space weather impact the technological infrastructure that powers the coupled economies around the wo…
Advancing In Situ Modeling of ICMEs: New Techniques for New Observations
Tamitha Mulligan, Alysha A. Reinard, Benjamin J. Lynch
It is generally known that multi-spacecraft observations of interplanetary coronal mass ejections (ICMEs) more clearly reveal their three-dimensional structure than do observations…
Composition Structure of Interplanetary Coronal Mass Ejections From Multispacecraft Observations, Modeling, and Comparison with Numerical Simulations
Alysha Reinard, Benjamin Lynch, Tamitha Mulligan
We present an analysis of the ionic composition of iron for two interplanetary coronal mass ejections observed in May 21-23 2007 by the ACE and STEREO spacecraft in the context of…